COMPAT: numpy test warnings

pandas/tests/arrays/test_integer.py

@@ -894,6 +894,8 @@ def test_astype_nansafe():
 
 
 @pytest.mark.parametrize("ufunc", [np.abs, np.sign])
+# np.sign emits a warning with nans, <https://github.com/numpy/numpy/issues/15127>
+@pytest.mark.filterwarnings("ignore:invalid value encountered in sign")
 def test_ufuncs_single_int(ufunc):
     a = integer_array([1, 2, -3, np.nan])
     result = ufunc(a)

pandas/tests/plotting/test_datetimelike.py

@@ -1,10 +1,12 @@
 """ Test cases for time series specific (freq conversion, etc) """
-from datetime import date, datetime, time, timedelta
+from datetime import date, datetime, time, timedelta, timezone
 import pickle
 import sys
 
+import dateutil
 import numpy as np
 import pytest
+import pytz
 
 import pandas.util._test_decorators as td
 
@@ -49,7 +51,15 @@ def test_ts_plot_with_tz(self, tz_aware_fixture):
         tz = tz_aware_fixture
         index = date_range("1/1/2011", periods=2, freq="H", tz=tz)
         ts = Series([188.5, 328.25], index=index)
-        _check_plot_works(ts.plot)
+        if tz in ["UTC", pytz.UTC, timezone.utc] or isinstance(
+            tz, dateutil.tz.tz.tzutc
+        ):
+            # Converting to PeriodArray/Index representation will drop timezone
+            # information.
+            with tm.assert_produces_warning(UserWarning):
+                _check_plot_works(ts.plot)
+        else:
+            _check_plot_works(ts.plot)
 
     def test_fontsize_set_correctly(self):
         # For issue #8765

pandas/tests/plotting/test_frame.py

@@ -538,7 +538,12 @@ def test_subplots_timeseries_y_axis(self):
             ax_datetime_no_tz.get_lines()[0].get_data()[1]
             == testdata["datetime_no_tz"].values
         ).all()
-        ax_datetime_all_tz = testdata.plot(y="datetime_all_tz")
+        # FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive
+        # ndarray with 'datetime64[ns]' dtype. In the future, this will return an
+        # ndarray with 'object' dtype where each element is a 'pandas.Timestamp' with
+        # the correct 'tz'.
+        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+            ax_datetime_all_tz = testdata.plot(y="datetime_all_tz")
         assert (
             ax_datetime_all_tz.get_lines()[0].get_data()[1]
             == testdata["datetime_all_tz"].values